Previous research accounting for pronoun resolution as a problem of probabilistic inference has not explored the phenomenon of adaptation, whereby the processor constantly tracks and adapts, rationally, to changes in a statistical environment. We investigate whether Brazilian (BP) and European Portuguese (EP) speakers adapt to variations in the probability of occurrence of ambiguous overt and null pronouns, in two experiments assessing resolution toward subject and object referents. For each variety (BP, EP), participants were faced with either the same number of null and overt pronouns (equal distribution), or with an environment with fewer overt (than null) pronouns (unequal distribution). We find that the preference for interpreting overt pronouns as referring back to an object referent (object-biased interpretation) is higher when there are fewer overt pronouns (i.e., in the unequal, relative to the equal distribution condition). This is especially the case for BP, a variety with higher prior frequency and smaller object-biased interpretation of overt pronouns, suggesting that participants adapted incrementally and integrated prior statistical knowledge with the knowledge obtained in the experiment. We hypothesize that comprehenders adapted rationally, with the goal of maintaining, across variations in pronoun probability, the likelihood of subject and object referents. Our findings unify insights from research in pronoun resolution and in adaptation, and add to previous studies in both topics: They provide evidence for the influence of pronoun probability in pronoun resolution, and for an adaptation process whereby the language processor not only tracks statistical information, but uses it to make interpretational inferences.
We report two experiments, a self-paced reading task and an off-line questionnaire, that tested if the overt subject pronoun in European Portuguese was sensitive to the animacy (animate vs. inanimate) of the antecedent in object position. We found higher reading times when the overt pronoun was forced to retrieve an inanimate antecedent compared to retrieving an animate one (Experiment 1) and less object choices with inanimate antecedents (compared to animate ones). Our findings show that several factors are taken into account during the resolution of pronominal forms, including animacy features, favouring thus a multifactorial approach to pronoun retrieval (Kaiser & Trueswell, 2008). We propose that there is a hierarchy that considers both syntactic and semantic information in pronoun resolution and that within the syntactic information the prominence of entities varies according to their animacy features. Our results are neither explained by processing theories that only consider syntactic factors (Carminati, 2005), nor by theoretical accounts that associate strong pronouns with animacy features (Cardinaletti & Starke, 1999).
Neste estudo, analisamos o processamento e a interpretação de sujeitos nulos e plenos em PE e em PB na retoma de antecedentes que ocupam diferentes posições estruturais. Resultados: função sintática e posição estrutural influenciam a resolução da correferência em PE; em PB, o nulo é mais facilmente interpretado como correferente com o Sujeito ou com o antecedente maispróximo que o comanda.
This study aims to connect data from ocular movements and reading aloud speech to syntactic and discursive properties of texts, in order to understand integrative cognitive processes during reading for understanding and to identify prosodic and eye movements' indicators of reading fluency. Assuming that in reading aloud there is a close interaction between syntax structure and speech prosody, we collected eye movements and reading speech data from 17 native EP speakers. Eye movements and reading speech produced simultaneously were analyzed and our results show that eyes and voice are both responsive to text complexity and to syntactic and discursive critical loci, as key points of information integration.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.